DyMoDreamer: World Modeling with Dynamic Modulation

Fuente: arXiv

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Bibliographic Details
Main Authors:	Zhang, Boxuan, Wang, Runqing, Xiao, Wei, Zhang, Weipu, Sun, Jian, Huang, Gao, Chen, Jie, Wang, Gang
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
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Object-Centric World Models from Few-Shot Annotations for Sample-Efficient Reinforcement Learning
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Published: (2025)

TransDreamer: Reinforcement Learning with Transformer World Models
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Published: (2022)

Self-Controlled Dynamic Expansion Model for Continual Learning
by: Wu, Runqing, et al.
Published: (2025)

SafeDreamer: Safe Reinforcement Learning with World Models
by: Huang, Weidong, et al.
Published: (2023)

DyMoE: Dynamic Expert Orchestration with Mixed-Precision Quantization for Efficient MoE Inference on Edge
by: Huang, Yuegui, et al.
Published: (2026)

DreamerAD: Efficient Reinforcement Learning via Latent World Model for Autonomous Driving
by: Yang, Pengxuan, et al.
Published: (2026)

ReconDreamer: Crafting World Models for Driving Scene Reconstruction via Online Restoration
by: Ni, Chaojun, et al.
Published: (2024)

DyGKT: Dynamic Graph Learning for Knowledge Tracing
by: Cheng, Ke, et al.
Published: (2024)

LLM4DyG: Can Large Language Models Solve Spatial-Temporal Problems on Dynamic Graphs?
by: Zhang, Zeyang, et al.
Published: (2023)

DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs
by: Li, Dongyuan, et al.
Published: (2024)

DyQ-VLA: Temporal-Dynamic-Aware Quantization for Embodied Vision-Language-Action Models
by: Zheng, Zihao, et al.
Published: (2026)

Dreamer-CDP: Improving Reconstruction-free World Models Via Continuous Deterministic Representation Prediction
by: Hauri, Michael, et al.
Published: (2026)

CoT-UQ: Improving Response-wise Uncertainty Quantification in LLMs with Chain-of-Thought
by: Zhang, Boxuan, et al.
Published: (2025)

R2-Dreamer: Redundancy-Reduced World Models without Decoders or Augmentation
by: Morihira, Naoki, et al.
Published: (2026)

DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks
by: Zhu, Kaijie, et al.
Published: (2023)

CausalVAE as a Plug-in for World Models: Towards Reliable Counterfactual Dynamics
by: Ding, Ziyi, et al.
Published: (2026)

MoDyGAN: Combining Molecular Dynamics With GANs to Investigate Protein Conformational Space
by: Liang, Jingbo, et al.
Published: (2025)

PH-Dreamer: A Physics-Driven World Model via Port-Hamiltonian Generative Dynamics
by: Luan, Xueyu, et al.
Published: (2026)

DySpec: Faster Speculative Decoding with Dynamic Token Tree Structure
by: Xiong, Yunfan, et al.
Published: (2024)

UniDyG: A Unified and Effective Representation Learning Approach for Large Dynamic Graphs
by: Xu, Yuanyuan, et al.
Published: (2025)

Incrementally Learning Multiple Diverse Data Domains via Multi-Source Dynamic Expansion Model
by: Wu, Runqing, et al.
Published: (2025)

TransDreamerV3: Implanting Transformer In DreamerV3
by: Dongare, Shruti Sadanand, et al.
Published: (2025)

DyJR: Preserving Diversity in Reinforcement Learning with Verifiable Rewards via Dynamic Jensen-Shannon Replay
by: Li, Long, et al.
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DyKen-Hyena: Dynamic Kernel Generation via Cross-Modal Attention for Multimodal Intent Recognition
by: Wang, Yifei, et al.
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FLEX-MoE: Federated Mixture-of-Experts with Load-balanced Expert Assignment for Edge Computing
by: Zhang, Boyang, et al.
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Nightmare Dreamer: Dreaming About Unsafe States And Planning Ahead
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FreqMoE: Dynamic Frequency Enhancement for Neural PDE Solvers
by: Chen, Tianyu, et al.
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PlantBiMoE: A Bidirectional Foundation Model with SparseMoE for Plant Genomes
by: Lin, Kepeng, et al.
Published: (2025)

Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling
by: Huang, Zijie, et al.
Published: (2024)

Reason--Imagine--Act: Closed-Loop LLM Decision Making with World Models for Autonomous Driving
by: Sun, Zhengqi, et al.
Published: (2026)

PGODE: Towards High-quality System Dynamics Modeling
by: Luo, Xiao, et al.
Published: (2023)

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning
by: Wu, Xiang, et al.
Published: (2025)

DyCoke: Dynamic Compression of Tokens for Fast Video Large Language Models
by: Tao, Keda, et al.
Published: (2024)

Harder Tasks Need More Experts: Dynamic Routing in MoE Models
by: Huang, Quzhe, et al.
Published: (2024)

Joint Velocity-Growth Flow Matching for Single-Cell Dynamics Modeling
by: Wang, Dongyi, et al.
Published: (2025)

Shifting Uncertainty to Critical Moments: Towards Reliable Uncertainty Quantification for VLA Model
by: Tang, Yanchuan, et al.
Published: (2026)

DyDiff: Long-Horizon Rollout via Dynamics Diffusion for Offline Reinforcement Learning
by: Zhao, Hanye, et al.
Published: (2024)

Practical FP4 Training for Large-Scale MoE Models on Hopper GPUs
by: Zhang, Wuyue, et al.
Published: (2026)

WorldParticle: Unified World Simulation of Lagrangian Particle Dynamics via Transformer
by: Wang, Caoliwen, et al.
Published: (2026)

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